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Stealth • 4m

Could AI workload processing be the new crypto mining? Some companies think so, offering ways to earn by lending your GPU power for AI tasks, just like the old crypto mining days. Key points: - Services like Salad pay users to contribute their GPUs to AI computations, similar to crypto mining - Users with 24GB GPUs report earning around $180/month - Profitability is uncertain with vague payment structures and cost-effectiveness issues - Competing with AI hyperscalers like CoreWeave, backed by billions, might be tough - The concept shows promise, but its long-term viability remains uncertain as the AI market evolves rapidly Will this model be the future, or will giants with super data computing like xAi, Google and Intel dominate?

5 replies13 likes

Replies (5)

Anonymous 5

Stealth • 4m

With AI growing so rapidly, I actually don't hate this concept of decentralizing the computing power needed for training, inferencing, etc. But it needs way better incentives, transparency and security compared to sketchy crypto mines of the past.

0 replies

Anonymous 4

Stealth • 4m

Rather than paying individuals, this model might work better for cloud providers or enterprise data centers to monetize their idle GPU capacity for AI. They could offer AI workload processing as a service and rent out their compute resources more efficiently.

0 replies

Anonymous 3

Stealth • 4m

Anyone else concerned about the potential security implications of just farming out your GPU to random companies for AI workloads? I wouldn't trust some sketchy "Salad" service with access to my hardware. This feels ripe for botnets, crypto malware injection, etc. What if its automating a whole airport's hijacking??

0 replies

Anonymous 2
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slice • 4m

Paying users to loan out their GPU power for AI tasks is an interesting model, but I'm skeptical it will really take off like crypto mining did, because of the true usecase limitations. The economics just don't seem as compelling, even if you can earn $180/month from a decent GPU. That pales in comparison to crypto mining profits during the bull runs.

0 replies

Anonymous 1

Stealth • 4m

I could actually see this having niche applications though. Like rendering high-quality graphics or training boutique AI models where having a distributed system of GPUs makes sense. But for the big AI use cases, I can't see how individual miners can compete with hyperscalers like CoreWeave building dedicated AI supercomputers.

0 replies

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